Risk and Compliance in the Age of AI: Governance, Controls, and Accountability for the Intelligent Enterprise

AI is changing how organizations make decisions. Can your risk and compliance framework keep pace?

An AI assistant can summarize a regulation, prioritize an investigation, assess a supplier, or recommend a customer decision. But who remains accountable? What evidence supports the output? And how does an organization know when to intervene?

Risk and Compliance in the Age of AI gives leaders a practical framework for answering those questions. Dr. Basu connects established risk and compliance principles with the challenges of AI-enabled operations, showing how to turn governance expectations into controls that work—and assurance that can be demonstrated.

Across twelve chapters, the book examines how to:

• Assign clear ownership of AI-influenced decisions and actions.

• Use AI in compliance, monitoring, and investigation while preserving sound judgment.

• Design meaningful human review, authorization controls, and audit trails.

• Assess model limitations, privacy and security exposure, and supplier dependencies.

• Translate cross-border obligations into operating requirements.

• Implement a staged roadmap with priorities, accountable owners, measures, and decision points.

Hypothetical business scenarios bring the issues into focus, from a supplier assessment that overstates its evidence to a recruitment rollout whose controls do not match local requirements. Line diagrams, practical tables, a glossary, and a linked source appendix help readers apply the ideas to their own organizations.

Written for risk and compliance leaders, internal auditors, board members, and executives responsible for AI adoption, this book emphasizes the decisions surrounding the technology. It explains what leaders need to understand, what they should challenge, and what evidence they should expect.

Whether you are assessing your first AI pilot or reviewing an expanding portfolio, Risk and Compliance in the Age of AI will help you establish the purposes, boundaries, and controls that support responsible use.

Make AI governance a working management discipline—with clear accountability for what happens next.